{ "cells": [ { "cell_type": "markdown", "id": "349872df-bc22-471b-b079-a5f76a227a5d", "metadata": {}, "source": [ "## Click-track\n", "\n", "**maelzel** has a dedicated module for generating click tracks. A click track can be extracted from any score structure. It generated a `Score` with notes for each click, allowing to differentiate between strong, weak and compound beats. " ] }, { "cell_type": "code", "execution_count": 1, "id": "fd883318-4518-4e05-8215-ddd1bd01f32f", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "" ] }, "metadata": { "image/png": { "width": 916.5 } }, "output_type": "display_data" } ], "source": [ "from maelzel.core import *\n", "from maelzel.core import clicktrack\n", "\n", "scorestruct = ScoreStruct(r'''\n", "4/4, 72\n", ".\n", "3/8+2/8\n", "3/8\n", "2/4, 96\n", ".\n", "5/4\n", "3/4\n", "''')\n", "clicktrack = clicktrack.makeClickTrack(scorestruct)\n", "clicktrack.show()\n" ] }, { "cell_type": "code", "execution_count": 2, "id": "7e2d0b48-7eef-4dc3-812d-12ed2d1534b6", "metadata": {}, "outputs": [ { "data": { "text/html": [ "OfflineRenderer(outfile=\"clicktrack.flac\", 1 channels, 17.60 secs, 44100 Hz)
Soundfile: 'clicktrack.flac', duration: 17.6, sr: 44100, numchannels: 1)
\n", "\n", " \n", "
\n", "\n", " \n", " " ], "text/plain": [ "OfflineRenderer(sr=44100)" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "clicktrack.rec('clicktrack.flac', nchnls=1)" ] }, { "cell_type": "markdown", "id": "9099f320-9501-4a72-b7e2-98d17476c189", "metadata": {}, "source": [ "A clicktrack can be exported as MIDI and imported in any DAW to use for rehearsal / performance. " ] }, { "cell_type": "code", "execution_count": 3, "id": "60890a17-1354-41b7-b22b-2ffa1a59c150", "metadata": {}, "outputs": [], "source": [ "clicktrack.write('~/tmp/clicktrack.mid')" ] }, { "cell_type": "markdown", "id": "80c70cf5-df9f-4630-9f98-9168be0b9f32", "metadata": {}, "source": [ "This is, for example, the result in Reaper:\n", "\n", "![](assets/clicktrack-export-midi.jpg)" ] }, { "cell_type": "code", "execution_count": null, "id": "4fcd7808-25ae-4291-aef1-913d4208b6bb", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.3" } }, "nbformat": 4, "nbformat_minor": 5 }